What problem does it solve?
This Skill provides a comprehensive guide to using Zod effectively in TypeScript applications, offering best practices for schema validation, type inference, error handling, and performance optimization.
Core Features & Use Cases
- Schema Definition: Best practices for schema design, including proper types, avoiding overuse of optional fields, and using enums for fixed string values.
- Parsing & Validation: Techniques for safe parsing, handling all validation issues, and internationalized error messages.
- Type Inference: Using z.infer for type safety, enabling TypeScript strict mode, and exporting both schemas and inferred types.
- Error Handling: Implementing custom error messages, using flatten for form error display, and handling nested errors.
- Object Schemas: Understanding strict vs strip modes, partial updates, and using discriminated unions for type narrowing.
- Schema Composition: Extracting shared schemas, using intersections for type combinations, and leveraging lazy recursive schemas.
- Refinements & Transforms: Custom validation, data transformation, and handling partial success with degraded data.
- Performance & Bundle: Caching schema instances, using Zod Mini, lazy loading large schemas, and optimizing large array validation.
- Use Case: Consider a developer working on a TypeScript application with complex data structures. This Skill would provide a structured approach to validating and typing these structures, ensuring data integrity and reducing errors.
Quick Start
Read the Zod Best Practices Skill to understand how to define Zod schemas for type safety and validation. For example, to validate a user's email and password, use the following Zod schema:
import { z } from 'zod';
const userSchema = z.object({
email: z.string().email(),
password: z.string().min(8),
});